Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content
HLBS PHGKB

Specific PHGKB|HLBS|PHGKB

Last Posted: Mar 02, 2021
spot light Spotlight

Finding New Meaning in Everyday Electrocardiograms-Leveraging Deep Learning to Expand Our Diagnostic Toolkit.
Tison Geoffrey H et al. JAMA cardiology 2021 2

Various recent studies have demonstrated that machine learning is both capable and versatile in deriving substantial information from the ECG waveform, showing that even novel diagnoses can be extracted from existing ECG data.

Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke
V Zuber et al, MEDRXIV, March 1, 2021

Mendelian randomization analysis was performed to investigate whether liability to critical Covid-19 was associated with increased risk of any of the cardiovascular outcomes for which genetic correlation was identified. Results There was evidence of genetic correlation between critical Covid-19 and ischemic stroke (rg=0.29, FDR p-value=4.65x10-3), body mass index (rg=0.21, FDR-p-value=6.26x10-6) and C-reactive protein (rg=0.20, FDR-p-value=1.35x10-4).

World Birth Defects Day, March 3, 2021
CDC, March 2021

March 3 is World Birth Defects Day. Join us to raise awareness of birth defects, their causes, and their impact around the world! Our theme is “Many birth defects, one voice.” Every year, about 3-6% of infants worldwide are born with a serious birth defect. This means that life-altering conditions like spina bifida and congenital heart defects affect millions of babies regardless of where they are born, their socioeconomic status, or their race or ethnicity.

β-Thalassemias.
Taher Ali T et al. The New England journal of medicine 2021 2 (8) 727-743

The thalassemias are a group of recessively inherited disorders characterized by reduced or no production of hemoglobin and chronic anemia of varying severity. Advances in care have increased the life expectancy of adults with thalassemia, although the associated resource use is high.


news Latest News and Publications
Antihypertensive treatment guided by genetics: PEARL-HT, the randomized proof-of-concept trial comparing rostafuroxin with losartan External Web Site Icon
L Citterio et al, The Pharmacogenomics Journal, March 1, 2021
Ischemic stroke and myocardial ischemia in clopidogrel users and the association with CYP2C19 loss-of-function homozygocity: a real-world study External Web Site Icon
N Gronich et al, The PGX journal, March 1, 2021
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. External Web Site Icon
Sammani Arjan et al. NPJ digital medicine 2021 4(1) 37
Development and Validation of a Predictive Model for Coronary Artery Disease Using Machine Learning. External Web Site Icon
Wang Chen et al. Frontiers in cardiovascular medicine 2021 8614204
Polygenic Risk Scores Predict Hypertension Onset and Cardiovascular Risk. External Web Site Icon
Vaura Felix et al. Hypertension (Dallas, Tex. : 1979) 2021 HYPERTENSIONAHA12016471
Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis. External Web Site Icon
Kaplan Alan et al. The journal of allergy and clinical immunology. In practice 2021
Predicting Self-Rated Health Across the Life Course: Health Equity Insights from Machine Learning Models. External Web Site Icon
Clark Cheryl R et al. Journal of general internal medicine 2021
The Emerging Role of Quantification of Imaging for Assessing the Severity and Disease Activity of Emphysema, Airway Disease, and Interstitial Lung Disease. External Web Site Icon
Goldin Jonathan Gerald et al. Respiration; international review of thoracic diseases 2021 1-14
A machine learning approach predicts future risk to suicidal ideation from social media data. External Web Site Icon
Roy Arunima et al. NPJ digital medicine 2020 May 3(1) 78
Artificial intelligence for the diagnosis of heart failure. External Web Site Icon
Choi Dong-Ju et al. NPJ digital medicine 2020 Apr 3(1) 54

More

About HLBS-PopOmics

HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more


Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1

Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

TOP